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reliagrowr alternatives

The best reliagrowr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 17, 2026

Looking for the best alternatives to reliagrowr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, reliagrowr shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About reliagrowr

A reliability growth package put its models behind an MCP server for AI assistants to call.

ReliaGrowR fits reliability growth models to failure data — Crow-AMSAA and Duane, with maximum likelihood estimation, confidence bounds, prediction, and reliability demonstration test planning. The last year widened it well past growth curves into repairable systems: parametric non-homogeneous Poisson process fitting with automatic change point detection, non-parametric mean cumulative function estimation, and system exposure calculation. The most recent release adds goodness-of-fit statistics and exposes the package's functions as Model Context Protocol tools.

Velocity 0.0 · Last update 45m ago

Read the full reliagrowr trajectory →

Top 12 alternatives to reliagrowr

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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reliagrowr vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
reliagrowr (baseline)0.00reliability-engineeringr-packagerepairable-systemsReliability growth models exposed as MCP tools
glmbayes6.31bayesian-statisticsgeneralized-linear-modelsopenclOpenCL split out to nmathopencl; insight and bayestestR integration
lstar5.00single-cell-genomicszarrwasmlstar 0.2.0
trendseries3.81time-serieseconometricsr-packageDecomposition becomes a first-class operation, five methods deep
qtl22.50qtl-mappingstatistical-geneticsbioinformaticsA genome scan that takes your own likelihood function
r-owidapi2.50open-dataour-world-in-datar-package
quanteda2.50text-analysisnatural-language-processingr-packageCRAN v4.0
moderndive2.50statistics-educationwebrregression
PurpleAir0.00air-qualitysensor-datar-package
piecepackr0.00board-gamesgraphicsr-package
e2tree0.00explainable-aiensemble-methodsdecision-treesA significance-tested measure of explanation fidelity
discretefdr0.00multiple-testingfalse-discovery-ratediscrete-statistics
contentanalysis0.00text-analysisbibliometricsscientific-writingSentence-level rhetorical move classification arrives

The 12 best reliagrowr alternatives, in depth

1. glmbayes · velocity 6.3

A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain.

Over the last 30 days glmbayes shipped 1 meaningful update vs reliagrowr's 0, most recently “OpenCL split out to nmathopencl; insight and bayestestR integration”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, glmbayes focuses on bayesian statistics, generalized linear models and opencl.

Over the last 30 days glmbayes has been shipping faster than reliagrowr — a point in its favour if release momentum matters to you.

2. lstar · velocity 5.0

A single-cell data store commits to Zarr v3 and range-readable hosting across four language surfaces.

Its velocity score of 5.0/10 reflects longer-term release cadence; its most recent meaningful update was “lstar 0.2.0”.

Where reliagrowr leans on reliability engineering, r package and repairable systems, lstar focuses on single cell genomics, zarr and wasm.

lstar and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. trendseries · velocity 3.8

A trend-extraction toolkit grows a full decomposition engine, seasonal components and all.

Over the last 30 days trendseries shipped 1 meaningful update vs reliagrowr's 0, most recently “Decomposition becomes a first-class operation, five methods deep”. Its velocity score of 3.8/10 blends that with longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, trendseries focuses on time series, econometrics and r package.

Over the last 30 days trendseries has been shipping faster than reliagrowr — a point in its favour if release momentum matters to you.

4. qtl2 · velocity 2.5

The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “A genome scan that takes your own likelihood function”.

Where reliagrowr leans on reliability engineering, r package and repairable systems, qtl2 focuses on qtl mapping, statistical genetics and bioinformatics.

qtl2 and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. r-owidapi · velocity 2.5

The R client for Our World in Data found its search had been reading a tenth of the catalog.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, r-owidapi focuses on open data, our world in data and r package.

r-owidapi and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. quanteda · velocity 2.5

Text analysis in R keeps optimising its token internals — and builds a path out to torch.

Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “CRAN v4.0”.

Where reliagrowr leans on reliability engineering, r package and repairable systems, quanteda focuses on text analysis, natural language processing and r package.

quanteda and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. moderndive · velocity 2.5

The ModernDive teaching package learns to render inside the browser that runs its own textbook.

Its velocity score of 2.5/10 reflects longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, moderndive focuses on statistics education, webr and regression.

moderndive and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. PurpleAir · velocity 0.0

The R client for PurpleAir sensors keeps finding its time-averaging was wrong.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, PurpleAir focuses on air quality, sensor data and r package.

PurpleAir and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. piecepackr · velocity 0.0

A board game graphics package runs one of the most disciplined deprecation cycles in R.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, piecepackr focuses on board games, graphics and r package.

piecepackr and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. e2tree · velocity 0.0

The explainable-ensemble-tree package now measures whether its own explanations are faithful.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “A significance-tested measure of explanation fidelity”.

Where reliagrowr leans on reliability engineering, r package and repairable systems, e2tree focuses on explainable ai, ensemble methods and decision trees.

e2tree and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. discretefdr · velocity 0.0

The discrete-data FDR package is being pared into one piece of a larger multiple-testing suite.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where reliagrowr leans on reliability engineering, r package and repairable systems, discretefdr focuses on multiple testing, false discovery rate and discrete statistics.

discretefdr and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. contentanalysis · velocity 0.0

A scientific-text analysis package moved from counting citations to classifying argument structure.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Sentence-level rhetorical move classification arrives”.

Where reliagrowr leans on reliability engineering, r package and repairable systems, contentanalysis focuses on text analysis, bibliometrics and scientific writing.

contentanalysis and reliagrowr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to reliagrowr?

The top reliagrowr alternatives we currently track in analytics tools are glmbayes, lstar, trendseries, qtl2, r-owidapi, ranked by recent ship velocity.

How is this list of reliagrowr alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare reliagrowr directly with one of these alternatives?

Yes — every card has a "Compare with reliagrowr" link to a side-by-side /compare page.